Data Scientist

Your Role

• Develop and maintain scalable data pipelines using Python/Java/Scala/PySpark and Big Data tech (Hadoop, Spark, Scala). 
• Build, train, and optimize ML models using frameworks like PyTorch, TensorFlow, Keras, and XGBoost. 
• Design and manage real-time data workflows leveraging Kafka, SQL, and MongoDB. 
• Create dashboards and insights using Tableau or Power BI to support decision-making. 
• Utilize Cloud platforms (Azure/Databricks) to deploy and operationalize data and ML solutions. 
• Ensure the reliability, scalability, and performance of our data assets.   
• Design and maintain quality indicators as well as the corresponding monitoring and alerting means.   
• Troubleshoot and document issues respecting Amadeus standards.   
• Continuous improvement mindset applied to data related issues, systems, and processes.   
• Technical and expertise awareness to keep up with industry standards, security recommendations and best practices within Offer organization.  

Your Profile

• Analyze specifications, help to define user requirements for the development of software solutions. 
• Design and development. 
• Design technical solutions and perform feasibility studies. 
• Propose viable technical solutions. 
• Develop software according to Amadeus standards. 
• Data Engineering Activities 
• Acquire datasets that align with business needs. 
• Develop algorithms to transform data into useful, actionable information. 
• Design, develop, construct, test, and maintain optimal data pipeline architectures. 
• Create new data validation methods and data analysis tools. 
• Ensure compliance with data governance and security policies. 
• Identify ways to improve data reliability, efficiency, and quality. 
• Data Science activities • ML Model training. •ML Model calibration for different customers 
• KPI definition and measurements. 
• Data mining, data analysis 
• Research 
• Design new algorithms / models. Enhance the existing ones. 
• Industrialize and implement new prototypes.  
• Test and support 
• Conduct unit, package and performance tests and ensure a level of quality in line with the Amadeus guidelines. 
• Participate in the validation phase of the product cycle, fine-tuning when necessary to finalize the product. 
• Support the customer, perform investigation about the model result and behavior. 
• Familiarity with Azure cloud technologies.  
• Familiarity with Azure Databricks, Azure ML and Databricks SQL.  
• Familiarity with Snowflake Data Cloud will be a plus.  

What will you love working at Capgemini

• You will have the opportunity to learn on one of the industry's largest digital learning platforms, with access to 250,000+ courses and numerous certifications.
• We’re committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work.
• At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges. 
• Capgemini office campuses in India are green and run on 100% renewable electricity. We have installed Solar plants across India locations and ‘Battery Energy Storage Solution’ (BESS) in the Noida and Mumbai campuses. You will have chance to make a difference everyday.